Hybrid traffic system performance evaluation method with participation of automatic driving automobile

Abstract

The invention provides a method for evaluating efficiency of a hybrid traffic system under the participation of an autonomous vehicle. The method comprises steps of building an autonomous vehicle behavior model, a microcosmic vehicle following model under the condition of a mixed flow, and a regional traffic capacity and road network bearing capacity model through taking the operation demands of the autonomous vehicle in the mixed flow as research cuts-in; analyzing the mixed traffic flow macroscopic law and the vehicle microscopic traffic behavior uncertainty, and constructing a mixed traffic flow index evaluation system under different environment scenes. The method is advantaged in that research entry points of the automatic driving mixed flow are comprehensive, and systematic theoretical reference and guidance on the traffic control level are provided for vehicle launching, testing and the like of an automatic driving test field; the model theory in the system engineering is fully utilized to construct the overall efficiency model of the hybrid traffic system, the quantized data structure can better respond to automatic driving participants in the vehicle-road cooperative network, and a better reference basis is provided for traffic decision makers when the traffic decision makers carry out traffic control modes.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a method for evaluating the overall operation efficiency of a mixed traffic system with the participation of an automatic driving vehicle. Background technique [0002] For a long period of time in the future, the popularization process of autonomous driving vehicles on the road needs to undergo a continuous development and evolution process. In this process, there must be a mixed traffic flow of human-driven vehicles and vehicles of different autonomous driving levels. Therefore, research on the mixed traffic flow of different levels of autonomous vehicles under different penetration rates has become the first key research content in the process of autonomous vehicles on the road. The evaluation of the traffic operation status of the mixed traffic flow is of great significance for the closed test of the autonomous driving vehicle and the actual roa...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for evaluating the effectiveness of a hybrid traffic system in which autonomous vehicles participate, to explore the impact of main condition indicators on the overall traffic operation status, and to combine the overall scene traffic operation status with reference to the theoretical configuration in system engineering to construct Evaluate the operational efficiency model of the overall traffic system under the mixed flow of multi-level autonomous driving, and provide systematic theoretical reference and guidance at the level of traffic control for the launch and testing of vehicles in the autonomous driving test field, so as to solve the problem that the research on the mixed flow of autonomous driving is relatively single, The data structure of the macro-mixed flow is difficult to effectively respond to the autonomous driving participants in the vehicle-road collaborative network, and cannot provide a complete impact relationship of traffic operating conditions, so as to provide better theoretical references for traffic decision makers in traffic control methods

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